RKMR: A Rapid Kernel Machine Regression Framework for Optimal Marker Detection in Spatial Omics Data
Souvik Seal, Anirban Chakraborty, Chloe Mattila, Mark Rubinstein, Peggi M. Angel, Debashis Ghosh, Dongjun Chung, Brian Neelon
RKMR identifies predictive marker panels in spatial omics data using a scalable framework that integrates kernel modeling and spatial dependence.
bioRxiv · Sep 23, 2026 · PreprintBioinformatics